I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Finding Efficient Pruned Network via Refined Gradients for ..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Kim, Jangho
;
Yoo, Jayeon
;
Song, Yeji
.. - p. 9003-9011 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3611741
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Finding Efficient Pruned Network via Refined Gradients for Pruned Weights</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3611741&Exemplar=1&LAN=DE A1 Kim, Jangho A1 Yoo, Jayeon A1 Song, Yeji A1 Yoo, KiYoon A1 Kwak, Nojun PB ACM YR 2023 K1 convolutional neural networks K1 model compression K1 model pruning K1 refined gradients K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Machine learning SP 9003 OP 9011 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3611741 DO https://dl.acm.org/doi/10.1145/3581783.3611741 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
